Programme Description
The Master of Science in Applied Statistics programme is offered to accommodate both working professionals and fresh graduates to acquire analytical and statistical skills. The programme offers a curriculum that provides a balanced approach towards learning of statistical theory and its applications. The core courses give a thorough grounding in advanced and modern statistical methods with additional topics in data science.
Why is the program so special?
Students will be developed into highly competent statisticians, analysts, executives and managers, who are well qualified in their task accomplishment at the workplace and other professional areas through Data Science and Business and Social Sciences tracks.
The programme embraced and facilitated collaboration with SAS Institute and Department of Statistics Malaysia (DOSM). These mutual beneficial collaborations served the students, lecturers, and the organisations in providing certification, training, software with support, and produce ground-breaking research. The industry also assists in developing an industrial driven curriculum.
Course Detail
Courses
Semester 1
Frequentist and Bayesian Statistics
Statistical Programming and Computing
Advanced Multivariate Analysis
Research Design and Methodology
Semester 2
Statistical Data Mining
Applied Statistical Modelling
Statistical Consulting and Entrepreneurship
Research Proposal in Applied Statistics
and one elective course.
Semester 3
Research Project in Applied Statistics and two elective courses.
Elective Courses
Students are required to select one of the two specializations. They are required to select only three elective courses from the chosen specialization.
Specialization 1: Data Science
Data Visualization
Advanced Data Organization
Sampling Theory and Practice
Stochastic Model
Text Analytics
Specialization 2: Business and Social Sciences
Advanced Time Series Modelling and Forecasting
Input-Output Analysis
Sampling Theory and Practice
Experimental Design and Analysis
Strategic Management
